Data Analysis and Visualization
Demand for data analysis and visualization skills are rapidly increasing across all industries. Boost your career with our range of courses covering IBM SPSS, Excel and more. Don't see what you're looking for here? Contact us at training@ualberta.ca to learn about our custom training options.
Courses
Note: If no classes are visible when you click the "View Upcoming Classes" button, no sessions are scheduled at this time. Please contact training@ualberta.ca if you are interested in a particular course or require a specific date - we're happy to help!
This course will introduce students to both descriptive and uni-variate inferential statistical procedures used commonly in social science research. The emphasis for this course, however, will be on the application of these procedures in the spreadsheet environment of Microsoft Excel. Three different aspects of statistical reasoning will be emphasized: (1.) computational formulas and assumptions, (2.) spreadsheet applications using Excel, and (3.) appropriate uses of these statistics. The topics we will cover include descriptive summary statistics, correlation, regression, t-tests, and analysis of variance (ANOVA).
Course Details
Prerequisites:
- Excel Level 2 or equivalent knowledge/experience
Duration: 1 day
Multiple course sections are open to registration. Click the link below to view all available dates.
Registering at least one week before the deadline is recommended as this class may fill up or be cancelled due to low enrolment.
View Upcoming ClassesLearn how to perform statistical analysis and create data-driven graphics using JASP, a free, open-source and user-friendly alternative to SPSS. This introductory course will combine a review of statistical concepts and theories with guided data analysis exercises using JASP. Procedures commonly used in the social sciences, public health and similar areas will be covered.
Course Details
Prerequisites:
- Good understanding of Windows and Microsoft software
- Basic understanding of descriptive and univariate statistics
Duration: 1 day
Multiple course sections are open to registration. Click the link below to view all available dates.
Registering at least one week before the deadline is recommended as this class may fill up or be cancelled due to low enrolment.
Learn how to describe, visualize and analyze data using R, a free, open-source statistical analysis program used by researchers around the world! In this class, we will explore the basic structure and functions of R and practical applications of the program, such as data management.
Course Details
Prerequisites:
- Good understanding of Windows and Microsoft software
- Basic understanding of descriptive and univariate statistics
Duration: 1 day
Multiple course sections are open to registration. Click the link below to view all available dates.
Registering at least one week before the deadline is recommended as this class may fill up or be cancelled due to low enrolment.